Optical Coherence Tomography Anatomic and Temporal Biomarkers in Uveitic Macular Edema
Bibliographic record
Abstract
PURPOSE: To assess the relationship between best-corrected visual acuity (BCVA) and optical coherence tomography (OCT) features in noninfectious uveitis (NIU)-related macular edema. DESIGN: Clinical cohort study from post hoc analysis of 2 phase 3 clinical trials. METHODS: Correlation and longitudinal treatment analyses were performed. Of 198 patients with NIU, 134 received suprachoroidal CLS-TA (proprietary formulation of a triamcinolone acetonide injectable suspension), and 64 received sham, with 12.9% and 72%, respectively, receiving rescue therapy. RESULTS: At baseline, mean BCVA progressively worsened with each ordinal drop in central subfield ellipsoid zone (EZ) integrity. Eyes with normal baseline EZ experienced greater 24-week change in BCVA versus those with some degree of baseline EZ disruption (11.9 vs 9.4 letters, P = .006). In contrast, eyes with baseline central subfield cystoid spaces and/or subretinal fluid showed more improvement (13.7 or 17.2 letters, respectively) at 24 weeks, versus those without such findings (5.5 [P = .012] or 9.5 letters [P < .001], respectively). Longitudinal modeling for CLS-TA-treated eyes showed that central subfield thickness (CST) reached 90% of maximal improvement by week 3, whereas 90% maximal response in BCVA was not reached until week 9. CLS-TA-treated eyes that showed CST reduction of ≥50 µm at 4 weeks experienced a greater 24-week improvement in BCVA versus those without such an early response (14.6 vs 6.5 letters, P = .006 for difference). CONCLUSIONS: Pretreatment EZ integrity and the presence of central subfield cystoid spaces or subretinal fluid each predict improved therapeutic response to treatment in eyes with NIU. In CLS-TA treated eyes, longitudinal modeling shows CST improvement preceding BCVA improvement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".